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Ch 9: Statistics, Valuation Models & Finance for Real Estate

About This Chapter

These convenient lessons on statistics, valuation models, and finance for real estate can help you with test preparation or a class project. This chapter is a simplified way to master topics like statistical analysis, valuation models, ratio measurements, and other related topics.

Statistics, Valuation Models & Finance for Real Estate - Chapter Summary

Fun and engaging, this chapter on statistics, valuation models and finance for real estate reviews how data is grouped and measured. Instructors also go over formulas used for different methods in statistical analysis. After completing the lessons, you should be able to confidently do the following:

  • Explain the difference between descriptive and inferential statistics
  • Provide examples of ordinal, interval, nominal and ratio measurements
  • Describe techniques used for statistical analysis
  • Calculate the mean, median, mode, and range of a data set
  • Outline how minimums, maximums, and outliers of a data set are calculated
  • Explain why automated valuation models are used
  • Recall advantages of mass appraisals

Our professional instructors are skilled at helping you absorb important information regarding statistics, valuation models and finance for real estate. You can even skip topics and just focus on the areas where you need the most help. There's also a short quiz provided for each lesson to test your understanding of the concepts in the chapter.

6 Lessons in Chapter 9: Statistics, Valuation Models & Finance for Real Estate
Test your knowledge with a 30-question chapter practice test
Descriptive & Inferential Statistics: Definition, Differences & Examples

1. Descriptive & Inferential Statistics: Definition, Differences & Examples

Descriptive and inferential statistics each give different insights into the nature of the data gathered. One alone cannot give the whole picture. Together, they provide a powerful tool for both description and prediction.

Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples

2. Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples

Different types of data can be grouped and measured in different ways. In this lesson, you will learn about nominal, ordinal, interval, and ratio measurements.

Statistical Analysis: Methods & Techniques

3. Statistical Analysis: Methods & Techniques

Statistical analysis is the process of collecting and reading data so that one can describe past behavior and characteristics and predict future ones. This lesson will give the definition and formulas of different methods you can use.

How to Calculate Mean, Median, Mode & Range

4. How to Calculate Mean, Median, Mode & Range

Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.

Maximums, Minimums & Outliers in a Data Set

5. Maximums, Minimums & Outliers in a Data Set

When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.

Valuation Models: AVM & Mass Appraisals

6. Valuation Models: AVM & Mass Appraisals

In this lesson, we will learn about mass appraisals and, more specifically, the AVM method. We will go into detail about the advantages and disadvantages as well.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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